Imagine a laboratory where valuable equipment is at risk because traditional locks offer no traceability. Anyone can enter, and if something goes missing, there’s no way to know who was last inside. We designed a smart solution: an IoT-based door security system using NodeMCU ESP8266 and RFID technology that reads electronic ID cards (e-KTP) as access keys. When a user taps their e-KTP & KTM (Student Card) on the RFID reader, the system verifies the unique ID, unlocks the door automatically, and logs the access in real-time to both a local database (XAMPP) and Google Spreadsheet. This system enhances security, enables instant user tracking, and leverages a national ID that everyone already owns—making it cost-effective and easy to implement. It’s not just a smart lock; it’s a secure, traceable, and scalable access control system for laboratories, offices, or dormitories. With this innovation, we move from blind access to intelligent, data-driven security.

This project aims to develop a real-time monitoring system for important water quality parameters such as temperature, turbidity (TDS & turbidity), and pH. The device utilizes sensors such as DS18B20, SEN0244, SEN0189, and pH 4052c, integrated with a WiFi-based Robotdyn Arduino Uno microcontroller, and displays data in real-time via the IoT platform Thinger.io. This system not only displays data on an LCD screen, but can also be accessed from anywhere via a cloud dashboard, and data can be downloaded at any time. Testing was conducted over 7 days and the results showed a fairly good level of accuracy and precision, as well as compliance with the BBPBAT Buleleng koi pond water quality standards. Perfect for those interested in IoT, aquaculture, agricultural automation, or electrical engineering thesis projects! ???? Jangan lupa like, follow, dan comment..

This project aims to accelerate the process of identifying soil density values from the subgrade, subbase, and base course layers by integrating vibration, speed, and acceleration sensors connected to an Arduino Mega 2560 microcontroller. The data generated enables real-time monitoring and adjustment during the compaction process in accordance with SNI (Indonesian National Standard) 1738-2011.